Yan Wang

Yan Wang, Ph.D.

Associate Professor

College of Fine Arts, Humanities and Social Sciences
Coburn 340C

Research Interests

Finite mixture modeling, structural equation modeling, multilevel modeling, Bayesian analysis


  • Ph D: Measurement & Research, (2018), University of South Florida - Tampa, Fla.
    Supporting Area: Educational Psychology
    Dissertation/Thesis Title:Covariates in factor mixture modeling: Investigating measurement invariance across unobserved groups

  • MA: Curriculum and Instruction, (2013), Boston College - Boston, Mass.

  • BA: English Literature, (2011), Xiamen University - Xiamen, China

  • BS: Economics, (2011), Xiamen University - Xiamen, China

Selected Awards and Honors

  • Teaching Excellence Award (2022) - University of Massachusetts Lowell
  • Leslie C. Robbins Dean’s Excellence Award (2016) - University of South Florida
  • Conference Presentation Travel Grant (2015) - SouthEast SAS Users Group (SESUG)
  • University Graduate Fellowship Award (2013) - University of South Florida
  • Dean’s Scholarship (2011) - Boston College
  • National Scholarship (2008) - Xiamen University

Selected Publications

* indicates graduate student co-author

Selected Presentations

  • Wang, Y. (2022 April). Incorporating machine learning into factor mixture modeling: identification of covariate interactions to explain population heterogeneity. Paper presented in an invited session for Division D Mini-Grant Awardees at the annual meeting of American Educational Research Association.
  • *Karaca, M., Geraci, L., & Wang, Y. (2022 April). Do older adults remember more positive memories when they feel older than their chronological age? Paper presented at the 2022 Cognitive Aging Conference.
  • Cao, C., Wang, Y., & Kim, E. (2022 April). Multilevel factor mixture modeling: illustrations for multilevel constructs. Paper presented at the annual meeting of American Educational Research Association.
  • Ramlackhan, K. & Wang, Y. (2022 January). Impact of school leadership on student achievement: An equity and social justice framed analysis. Paper presented virtually at the annual convention of the International Congress for School Effectiveness and Improvement.
  • Kim, E., Cao, C., *Liu, S., & Wang, Y. (2021 November). Testing measurement invariance over time in intensive longitudinal data: Demonstration of four approaches. Paper presented at the Florida Educational Research Association.
  • *Armagan, M., Ho, I., & Wang, Y. (2021 August). Perceptions about refugees and other out-group members in the US: A Latent Class Analysis. Poster presented at the American Psychological Association (APA).
  • Wang, Y., Hsu, H.-Y., & Kim, E. (2021 April). Investigating impact of covariate inclusion on sample size requirements of factor mixture modeling. Paper presented at the annual meeting of American Educational Research Association (AERA).
  • Wang, Y., Cao, C., & Kim, E. (2021 April). Evaluating performance of factor mixture modeling and MIMIC in measurement invariance testing with multiple covariates. Paper presented at the annual meeting of American Educational Research Association (AERA).
  • *Sutherland, K. T., Smalarz, L., Wilford, M. M., Wang, Y., & Pascale, M. (2021 March). Does knowledge of coercive plea offers reduce the tendency to infer guilt from a guilty plea? Poster accepted for presentation at the meeting of the American Psychology-Law Society.
* indicates graduate student co-author

Selected Contracts, Fellowships, Grants and Sponsored Research

  • Virtual Reality-based Rehabilitation for Children with Traumatic Brain Injuries (R00 Phase) (2020), Grant - Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
    Shen, J. (Principal), Wang, Y. (Co-Investigator)